Data Scientist

ERRABIA Oussama

** ***, ******

Lot Zakaria N ** Mhamid Marrakech

Tel : +212-***-***-***

Email : *******.*******@*****.***

Data Scientist

Institute National of Statistics and applied Economics -INSEA- PROFILE: Data scientist with a strong math background and experience in big data, machine learning, and statistics. Passionate about explaining data science to non-technical business audiences. Frequent speaker at local data science events and a current data science former. FORMATION ACADEMIQUEllllllllllllllllllllllllllllllllllllllllllllllllllllll 2013-2016: Engineering student in << Operational Research and Decision consultant >>, INSEA. 2010-2012: preparatory classes MP/MPSI – Cpge Marrakech. 2010 : Baccalaureate Sc. Mathematics Option A, grade: A+, Maghreb Al Arabie high school February – July

2016:

July - Septembre

2015:

July-Septembre

2014:

Professional Experience lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllloooo Data Scientist: Graduation project at the Observatory of the labour market (OMT). Subject: Big Data and les statistics for a better matching in terms of offer and demand of labour

Tools: machine Learning, java/J-EE, Python, Data Mining/Text Mining, pattern recognition. Data Scientist: the Central Popular Bank, Casablanca. Subject: credit risk evaluation.

Tools: Data Mining. R, machine Learning, pattern recognition. Engineering Internship at the High Commission for Planning Marrakech. Subject: conception and realization of the general census of population 2014 COMPETENCES

Machine Learning & Predictive analytics: Ensembles, classification, regression, clustering, feature engineering.

Text Mining: CNN, TF-IDF, latent semantic Analysis, Word2Vec, Glove.

Data Visualization: data manipulation with R, Tableau software, Talend Open Studio.

Data Analyze: credit analyzing, ACM, ACP, AFC.

Big Data : Hadoop(Hive, HDFS, MapRduce), Spark Apache, association role, SQL/NoSQL, social media analyzes

Statistical Methods: statistical reporting, Multivariate analysis, time series, regression models, hypothesis testing and confidence intervals, dimensionality reduction, stochastic differential equations (SDEs).

Software and Programming Languages: Python (scikit-learn, numpy, scipy, pandas, gensim), R Language, Scala, Linux, Oracle,MongoDB, Microsoft Excel( VBA ).

Optimization algorithms : gradient descent/stochastique gradient descent, genetic algorithms, Tabou,

Background: Marketing, Finance, Economy, Risks management, Supply Chain & logistics, Medialization. PROJECTS

Allste Purchase Prediction: Kaggle data science competition: Python.

AMS 2013-2014 Solar Energy Prediction: Kaggle data science competition: Python.

Multi Model Learning: Kaggle data science competition: Python.

Evaluation of the Higher Education in Morocco: Python, Data Mining, Text Mining, pattern recognition.

Credit risk evaluation: Data Mining, Text Mining, Pattern recognition. Activitieslllllllllllllllllllllllllllllllllllllllllllllllllllll

Regular competitor at the Kaggle & Data

science competitions

8 pool champion of Marrakech years 2015 &

2016

Languagesllllllllllllllllllllllllllllllllllllllllk

English : bilingue

French : bilingue

Arabe : bilingue

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